The Uralic Trove (UraLaari) – The digital data infrastructure of speaker areas of Uralic languages and Finnish dialects

This paper presents the Uralic Trove, a collection of datasets related to the human past in the Uralic language speaker area with special focus on the area of Finland. All the datasets are made in large collaborations, and (apart from no 8) have initially been launched elsewhere – this paper aims at collecting a ‘trove’ where all these areal datasets are easily located. We briefly describe the contents of eight multidisciplinary open access datasets: The databases considering the whole Uralic family or its speaker area are 1) UraLex (a basic vocabulary database with cognate coding), 2) UraTyp (binary data of existence of given linguistic typological functions), 3) a Cartographical Database of Uralic Languages (GIS format) and another GIS database of Interdisciplinary Maps of North-West Eurasia. The Finnish datasets are more detailed and include 5) a digital, easy to use version of the Dialect Atlas of Finnish collected already 100 years ago, 6) AADA, Archaeological Artefact Database of Finland, 7) Historical Travel Environment model and 8) Historical Culture and Environment Database of Finland. Uralic Trove also includes two user interfaces, that are aimed for easy visualization and access of the data.

Authors

Institutions

Publication Details

Journal
Digital Humanities in the Nordic and Baltic Countries Publications
Published
2025-03-14
DOI
https://doi.org/10.5617/dhnbpub.12266
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Uralic Trove (UraLaari) – The digital data infrastructure of speaker areas of Uralic languages and Finnish dialects

Outi Vesakoski, Michael Dunn, Meeli Roose, Jenni Santaharju
2 links
Digital Humanities in the Nordic and Baltic Countries Publications
Natural Language Processing Techniques
article

The Uralic Trove (UraLaari) – The digital data infrastructure of speaker areas of Uralic languages and Finnish dialects

Outi Vesakoski, Michael Dunn, Meeli Roose, Jenni Santaharju
article en

Abstract

This paper presents the Uralic Trove, a collection of datasets related to the human past in the Uralic language speaker area with special focus on the area of Finland. All the datasets are made in large collaborations, and (apart from no 8) have initially been launched elsewhere – this paper aims at collecting a ‘trove’ where all these areal datasets are easily located. We briefly describe the contents of eight multidisciplinary open access datasets: The databases considering the whole Uralic family or its speaker area are 1) UraLex (a basic vocabulary database with cognate coding), 2) UraTyp (binary data of existence of given linguistic typological functions), 3) a Cartographical Database of Uralic Languages (GIS format) and another GIS database of Interdisciplinary Maps of North-West Eurasia. The Finnish datasets are more detailed and include 5) a digital, easy to use version of the Dialect Atlas of Finnish collected already 100 years ago, 6) AADA, Archaeological Artefact Database of Finland, 7) Historical Travel Environment model and 8) Historical Culture and Environment Database of Finland. Uralic Trove also includes two user interfaces, that are aimed for easy visualization and access of the data.

Digital Humanities in the Nordic and Baltic Countries PublicationsVol. 7(3)
Uppsala University (SE), University of Turku (FI)
Openalex Percentile: Top 98%
Natural Language Processing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.